Literature DB >> 18249414

Is maximization of molar yield in metabolic networks favoured by evolution?

Stefan Schuster1, Thomas Pfeiffer, David A Fell.   

Abstract

Stoichiometric analysis of metabolic networks allows the calculation of possible metabolic flux distributions in the absence of kinetic data. In order to predict which of the possible fluxes are present under certain conditions, additional constraints and optimization principles can be applied. One approach of calculating unknown fluxes (frequently called flux balance analysis) is based on the optimality principle of maximizing the molar yield of biotransformations. Here, the relevance and applicability of that approach are examined, and it is compared with the principle of maximizing pathway flux. We discuss diverse experimental evidence showing that, often, those biochemical pathways are operative that allow fast but low-yield synthesis of important products, such as fermentation in Saccharomyces cerevisiae and several other yeast species. Together with arguments based on evolutionary game theory, this leads us to the conclusion that maximization of molar yield is by no means a universal principle.

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Year:  2007        PMID: 18249414     DOI: 10.1016/j.jtbi.2007.12.008

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  82 in total

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5.  Flux modules in metabolic networks.

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8.  In silico approaches to study mass and energy flows in microbial consortia: a syntrophic case study.

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Review 9.  Genome-scale models of bacterial metabolism: reconstruction and applications.

Authors:  Maxime Durot; Pierre-Yves Bourguignon; Vincent Schachter
Journal:  FEMS Microbiol Rev       Date:  2008-12-03       Impact factor: 16.408

10.  A possibilistic framework for constraint-based metabolic flux analysis.

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